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DBMS > Apache Druid vs. Kdb vs. OrigoDB vs. Quasardb

System Properties Comparison Apache Druid vs. Kdb vs. OrigoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh performance Time Series DBMSA fully ACID in-memory object graph databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score7.69
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Websitedruid.apache.orgkx.comorigodb.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designcode.kx.comorigodb.com/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsKx Systems, a division of First Derivatives plcRobert Friberg et alquasardb
Initial release20122000 infokdb was released 2000, kdb+ in 20032009 infounder the name LiveDB2009
Current release29.0.0, February 20243.6, May 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree 32-bit versionOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC#C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno infocan be achieved using .NETno
Secondary indexesyesyes infotable attribute 'grouped'yesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like query language (q)noSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnoyes infowith viewsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemrights management via user accountsRole based authorizationCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidKdbOrigoDBQuasardb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
Apache DruidKdbOrigoDBQuasardb
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